Augmenting Annual Runoff Records Using Tree-Ring Data
| Autor: | Stockton, Charles W., Fritts, Harold C. |
|---|---|
| Rok vydání: | 1971 |
| Předmět: |
Water resources development
Arizona. Hydrology Southwestern states. Runoff Statistical models Mathematical studies Climatic data Watersheds (basins) Arizona New Mexico Precipitation (atmospheric) Temperature Evapotranspiration Seasonal Spatial distribution Time series analysis Sampling Correlation analysis Regression analysis Variability Arid lands Hydrologic data Analysis of covariance Principal components analysis |
| Druh dokumentu: | Proceedings<br />Text |
| ISSN: | 0272-6106 |
| Popis: | From the Proceedings of the 1971 Meetings of the Arizona Section - American Water Resources Assn. and the Hydrology Section - Arizona Academy of Science - April 22-23, 1971, Tempe, Arizona Statistical analyses of existing hydrologic records suffer from the problem that such records are of relatively short duration, and therefore may not necessarily be random samples of the infinite population of events. On the hypothesis that tree-ring series and runoff series respond to a common climatic signal or signals that permit prediction of annual runoff from annual ring-width index, tree-ring data are used to extend available runoff records backwards in time to permit more accurate estimates of the 3 most common statistics used in hydrology: the mean, the variance and the 1st order correlation. It is assumed that both series are generated by the climatic parameters of precipitation, temperature, evapotranspiration, seasonal regime and spatial distribution. Of major concern in the reconstruction of annual runoff series from tree-ring records was the difference in persistence within each of the 2 series. A matrix of the tree-ring data was constructed, lagged up to 3 times and principal components were extracted. The covariation in this matrix was then decomposed by extracting the Eigen-vectors, and multiple regression was then used to weight the respective series and the differences in persistence were determined. This method was applied to watersheds of diverse characteristics and improved estimates of the mean and variance were obtained. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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